KwanWaiChung / MT-Eval
Code and data for "MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models"
☆31Updated last month
Related projects ⓘ
Alternatives and complementary repositories for MT-Eval
- Towards Systematic Measurement for Long Text Quality☆28Updated 2 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆62Updated 3 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆83Updated 4 months ago
- [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"☆25Updated 7 months ago
- Do Large Language Models Know What They Don’t Know?☆85Updated 2 weeks ago
- ☆36Updated 10 months ago
- Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…☆104Updated 5 months ago
- Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"☆77Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆86Updated 2 months ago
- Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)☆22Updated 11 months ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆125Updated last year
- ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆62Updated 7 months ago
- self-adaptive in-context learning☆41Updated last year
- The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agen…☆21Updated 8 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆42Updated 2 months ago
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues☆51Updated 3 months ago
- Collection of papers for scalable automated alignment.☆73Updated last month
- ☆83Updated last year
- ACL'23: Unified Demonstration Retriever for In-Context Learning☆33Updated 11 months ago
- Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)☆44Updated 7 months ago
- ☆65Updated 6 months ago
- A framework for editing the CoTs for better factuality☆40Updated 11 months ago
- ☆25Updated last year
- EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration☆32Updated 8 months ago
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆57Updated 3 weeks ago
- SysBench: Can Large Language Models Follow System Messages?☆21Updated 2 months ago
- ☆53Updated 4 months ago
- ☆36Updated last year
- ☆47Updated 3 months ago
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆42Updated last year